Embark on your journey into the exciting world of machine learning with our comprehensive fundamentals course. This course is designed for beginners who want to understand the core concepts of machine learning and start building their own predictive models.
You'll learn both supervised and unsupervised learning algorithms, understand how to prepare data, train models, and evaluate their performance. Through hands-on projects, you'll gain practical experience with real-world datasets and industry-standard tools.
Master regression and classification algorithms including linear regression, logistic regression, and decision trees.
Learn clustering techniques, dimensionality reduction, and anomaly detection methods.
Understand how to clean, transform, and prepare data for machine learning models.
Learn to assess model performance using various metrics and validation techniques.
Work with industry-standard tools including scikit-learn, pandas, and NumPy.
Build practical projects to reinforce your learning and create a portfolio.